Evidence map›Paper›PMID 29993012›Full record

ArticleScientific reports2018

Expression patterns and genetic variation of the ovine skeletal muscle transcriptome of sheep from five Spanish meat breeds.

A Noce, T F Cardoso, A Manunza, A Martínez, A Cánovas, A Pons, L A Bermejo, V Landi, A Sànchez, J Jordana and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Novel Genes Associated with Dairy Traits in Sarda Sheep.Animals : an open access journal from MDPI · 2021
    Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

A NoceDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain.
T F CardosoDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain.
A ManunzaDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain.
A MartínezDepartamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain.
A CánovasCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, N1G 2W1, Ontario, Canada.
A PonsUnitat de Races Autòctones, Servei de Millora Agrària i Pesquera (SEMILLA), Son Ferriol, 07198, Spain.
L A BermejoDepartamento de Ingeniería, Producción y Economía Agrarias, Universidad de La Laguna, 38071, La Laguna, Tenerife, Spain.
V LandiDepartamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain.
A SànchezDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain.
J JordanaDepartament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.
J V DelgadoDepartamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain.
S AdánFederación de Razas Autóctonas de Galicia (BOAGA), Pazo de Fontefiz, 32152, Coles, Ourense, Spain.
J CapoteInstituto Canario de Investigaciones Agrarias, La Laguna, 38108, Tenerife, Spain.
O VidalDepartament de Biologia, Universitat de Girona, Girona, 17071, Spain.
M PazzolaDipartimento di Medicina Veterinaria, Università degli Studi di Sassari, via Vienna, 2, 07100, Sassari, Italy.
G M VaccaDipartimento di Medicina Veterinaria, Università degli Studi di Sassari, via Vienna, 2, 07100, Sassari, Italy.
J CasellasDepartament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain. joaquim.casellas@uab.cat.
M AmillsDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain. marcel.amills@uab.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of the current study is to analyse the gene expression profile of the ovine skeletal muscle as well as to characterize the genetic variation of transcripts expressed in such tissue. This aim has been achieved by sequencing the longissimus dorsi transcriptomes of 50 sheep distributed in five pools representing the Canaria de Pelo, Roja Mallorquina, Gallega, Xisqueta and Ripollesa Spanish autochthonous breeds. Approximately, 363 million reads per pool have been produced and 71.9-82.9% have been successfully mapped to the ovine genome in a paired-end mode (2 × 75 bp). The 200 most expressed muscle transcripts (≈1% of the total transcript count) account for 51% (Canaria de Pelo) to 67% (Gallega) of the total ovine skeletal muscle mRNA expression. These highly expressed genes play key roles in pathways related with striated muscle contraction, gluconeogenesis, glycolysis, citric acid cycle and respiratory electron transport. RNA-Sequencing of muscle transcripts has also revealed that ~72% of the SNPs detected with this approach are shared by at least two pools, and 10% of them segregate in the five pools under analysis. Most of the substitutions detected by RNA-Seq are synonymous or missense and only a minority are predicted to have consequences on protein function.

Indexed as

Genetic VariationAnimalsBreedingGene Expression ProfilingGenomeHigh-Throughput Nucleotide SequencingMeatMuscle, SkeletalSequence Analysis, RNASheepSpainTranscriptome

Identifiers

PMID29993012
PMCPMC6041298

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.